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Re: st: Constructing a variable from standard deviations
From
"M.P.J. van Zaal" <[email protected]>
To
[email protected]
Subject
Re: st: Constructing a variable from standard deviations
Date
Mon, 22 Nov 2010 22:44:42 +0100
I have now run all the regression for the occupation
reg ink controls dummy1, robust
predict resid1, resid
.
reg ink controls dummy106, robust
predict resid106, resid
Then I used:
egen s = sd( res ), by(resid1-resid106)
g newerror = s*rnormal()
But now i get a variable with value "0" and frequency "6".
What did i do wrong?
I checked the stand deviations with tabstat and this works. They are all
varying even more now.
----- Original Message -----
From: Austin Nichols <[email protected]>
Date: Monday, November 22, 2010 9:23 pm
Subject: Re: st: Constructing a variable from standard deviations
To: [email protected]
> M.P.J. van Zaal <[email protected]>:
>
> Don't say "you guys claim that the estimates from this procedure would
> be meaningless" --Stas agreed with the basic approach, as do I, since
> it is standard and easily understood. Stas almost gave you the
> answer:
>
> regress depvar whatever i.occupation
> predict res, res
> egen s = sd( res ), by( occupation )
> g newerror = s*rnormal()
>
>
> On Mon, Nov 22, 2010 at 3:09 PM, M.P.J. van Zaal
> <[email protected]> wrote:
> > I am still digesting all this new information..
> >
> > The approach used by Kit seems to be familiar to an approach i used
> > earlier. My prof gave me the advice to include all the dummies in
> the> regression and then calculate the residual per occupation,
> since this is
> > what Bonin et all do.
> >
> > However, you guys claim that the estimates from this procedure
> would be
> > meaningless. I will start over again and make regression per
> occupation> and then predict the residuals.
> >
> > When I estimate the standard error of all these residuals I will
> > probably have 106 different "variables". How can I construct one
> > variable from all these standard deviations? This is the problem at
> > which I was stuck at my old approach, so i will probably have the
> > problem again when i use a new method.
> >
> *
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>
*
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